Program profile · official sources
Natural Language Processing Specialization
The 'Natural Language Processing Specialization' by DeepLearning.AI on Coursera is an intermediate-level, four-course program teaching NLP techniques. Instructed by Younes Bensouda Mourri and Łukasz Kaiser, the curriculum covers logistic regression, naïve Bayes, hidden Markov models, and word embeddings. Students learn to implement sentiment analysis, autocorrect, machine translation, and question-answering systems using Python, TensorFlow, and Hugging Face Transformers. The self-paced program takes about three months at ten hours a week to complete, featuring hands-on applied learning projects. Earning the shareable career certificate requires completing all courses and projects. Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 4 weeks. These are separate provider estimates; no combined completion promise is inferred.
Facts checked 29 Sep 2026
- Price
- See pricing
As shown in the United States on 29 September 2026: No specific total price is stated. Subscription is required for full access. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
- Time
- Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 4 weeks. These are separate provider estimates; no combined completion promise is inferred.
- Level
- Intermediate level
- Credential
- Provider-issued certification
Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Format
- 100% online, self-paced course
- Prerequisites
- Working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & stats.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Natural Language Processing with Classification and Vector Spaces
- Natural Language Processing with Probabilistic Models
- Natural Language Processing with Sequence Models
- Natural Language Processing with Attention Models
Prerequisites: Working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & stats.
What you actually do
- Natural Language Processing with Classification and Vector Spaces : 33 hours; Course 1 · Source
- Natural Language Processing with Probabilistic Models : 30 hours; Course 2 · Source
- Natural Language Processing with Sequence Models : 21 hours; Course 3 · Source
- Natural Language Processing with Attention Models : 26 hours; Course 4 · Source
What the credential is
- Credential type
- Provider-issued certification · www.coursera.org / natural-language-processing
- Credential
- Career certificate · www.coursera.org / natural-language-processing
- Issuer
- DeepLearning.AI · www.coursera.org / natural-language-processing
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / natural-language-processing
- Exam requirement
- The page describes course completion and applied learning assignments/projects; it does not explicitly establish whether an exam is required. · www.coursera.org / natural-language-processing
Who should skip it
Alternatives in the registry
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- DeepLearning.AI TensorFlow Developer Professional Certificate : USD 49 (The US course FAQ states $49/month for access to all four courses until the subscription ends. It separately describes a one-time $49 single-course payment with access for 180 days or until completion. These are different payment scopes, not a total completion cost.); Overview: 2 months at 10 hours a week. These are provider estimates; no combined completion promise is inferred..
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Change log
- : Initial recorded review of official program details. · Source